Living with Machines

Living with Machines

Living with Machines is a research project between The Alan Turing Institute, the British Library, and the Universities of Cambridge, East Anglia, Exeter, and London (QMUL, King’s College). This programme, funded by the UK Research and Innovation (UKRI) Strategic Priority Fund, is a multidisciplinary collaboration delivered by the Arts and Humanities Research Council (AHRC), with The Alan Turing Institute, the British Library and the Universities of Cambridge, East Anglia, Exeter, Queen Mary University of London, and King’s College London. Project Funding Reference: AH/S01179X/1
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2018 - 2019102020 - 2026215

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    Brighouse & Rastrick Gazette
    (2022)
    British Library
    Brighouse & Rastrick Gazette was a weekly newspaper which has been digitised by the British Library for the Living with Machines project
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    Potteries Examiner [plaintext]
    (2025-06-16)
    British Library
    ;
    Living with Machines
    Potteries Examiner (1871 - 1881) was a weekly newspaper which has been digitised by the British Library for the Living with Machines project.
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    Cradley Heath & Stourbridge Observer [plaintext]
    (2025-06-16)
    British Library
    ;
    Living with Machines
    Cradley Heath & Stourbridge Observer. (1864 - 1888) was a weekly newspaper which has been digitised by the British Library for the Living with Machines project.
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    Alston Herald, and East Cumberland Advertiser
    (2022)
    British Library
    Alston Herald, and East Cumberland Advertiser was a weekly newspaper which has been digitised by the British Library for the Living with Machines project
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    The Press
    (2020)
    British Library
    The Press (1853-1866) was a weekly conservative newspaper, to which Benjamin Disraeli regularly contributed.
      4
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    Item type:Book chapter,
    Scaffolding Collaboration: Workshop Designs for Digital Humanities Projects
    (2023)
    Ridge, Mia
    ;
    Manchester, Eileen J.
    Our chapter begins, as does this edited volume, with the premise that workshops can be valuable pedagogical structures, providing training opportunities for digitalhumanities staff andprojectmembers. This builds onour view thatworkshops can,and should, be regularly employed to support ongoing digital humanities project management and to enable collaborative decision-making. Crucially, considering workshops as a form of design allows the digital humanist to critically approach how work is done in addition to what the work entails.
      1
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    Tamworth Miners' Examiner and Working Men's Journal [plaintext]
    (2025-06-16)
    British Library
    ;
    Living with Machines
    Tamworth Miners' Examiner and Working Men's Journal (1873 - 1876) was a weekly newspaper which has been digitised by the British Library for the Living with Machines project.
      4  1
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    Ordnance Survey Old / First series England and Wales 1:63360 (georeferenced sheet images)
    (2021-08)
    Vane, Olivia
    Map sheet images for the Ordnance Survey Old Series / First Series England and Wales 1:63360, georeferenced and cropped at the neatlike (can be viewed together as a seamless composite). Geotiff format. The original (ungeoreferenced) sheet images can be found at: https://commons.wikimedia.org/wiki/Category:Ordnance_Survey_Old/First_series_England_and_Wales_1:63360_(full_sheets). The sheets were georeferenced by relating the sheet corners to their coordinates (no internal control points applied), using sheet boundary data created by the Charles Close Society (see https://www.charlesclosesociety.org/KMLFILE). Where sheets were issued as quarter sheets (NW, NE, SW, SE), a digital composite of the full sheet has been created. The filenames include the sheet number. See an index map at: https://commons.wikimedia.org/wiki/Category:Ordnance_Survey_Old/First_series_England_and_Wales_1:63360_(full_sheets)#/media/File:Ordnance_Survey_One-inch_Old_Series_England_&_Wales_Index.png The imagery is medium resolution.
      26  17
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    Item type:ConferenceItem Conference poster (published),
    Living with Machines - Computer-detected text in historical maps
    (2019)
    Ahnert, Ruth
    ;
    Beavan, David
    ;
    Beelen, Kaspar
    ;
    Coll Ardanuy, Mariona
    ;
    Griffin, Emma
      4
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    Item type:Conference paper (unpublished),
    A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching
    (2020)
    Coll Ardanuy, Mariona
    ;
    Hosseini, Kasra
    ;
    McDonough, Katherine
    ;
    Krause, Amrey
    ;
    van Strien, Daniel
    Recognizing toponyms and resolving them to their real-world referents is required for providing advanced semantic access to textual data. This process is often hindered by the high degree of variation in toponyms. Candidate selection is the task of identifying the potential entities that can be referred to by a toponym previously recognized. While it has traditionally received little attention in the research community, it has been shown that candidate selection has a significant impact on downstream tasks (i.e. entity resolution), especially in noisy or non-standard text. In this paper, we introduce a flexible deep learning method for candidate selection through toponym matching, using state-of-the-art neural network architectures. We perform an intrinsic toponym matching evaluation based on several new realistic datasets, which cover various challenging scenarios (cross-lingual and regional variations, as well as OCR errors). We report its performance on candidate selection in the context of the downstream task of toponym resolution, both on existing datasets and on a new manually-annotated resource of nineteenth-century English OCR'd text.
      3